Coreference resolution using the Stanford CoreNLP library and a LSTM RNN architecture.
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Updated
Dec 8, 2022 - Python
Coreference resolution using the Stanford CoreNLP library and a LSTM RNN architecture.
Project for an NLP course, giving a short overview on Coreference resolution systems and a comparison of their several practical implications.
Tracing Origins: Coreference-aware Machine Reading Comprehension (ACL 2022)
LD Connect: A Linked Data Portal for IOS Press Scientometrics
Code for 3 different coreference resolution models and results on GPT generated test sets.
Resources for "Model-based annotation of coreference"
Text mining movie scripts to explore long-term trend of female representation in movies according to the Bechdel test
This deep-coref repository is mainly about entity coreference resolution.
The “CockrACE” corpus consists of 140 news articles annotated with mentions of entities and their coreference links, as well as relation mentions for the evaluation of relation extraction (RE) experiments. Three semantic relations have been annotated, each of them dealing with people's family relationships (marriages, brother/sister, parent/child).
Supplementary materials for the paper "Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution" (Emelin et al., 2021)
Site for testing a coreference resolution system on a user-friendly web interface.
High-accuracy NLP parser with models for 11 languages.
This is a companion repository to seq2rel (https://github.com/JohnGiorgi/seq2rel) which aims to make it easy to generate training data.
This repository is an implementation of coreference resolution models.
Towards Evaluation of Cross-document Coreference Resolution Models using Datasets with Diverse Annotation Schemes
A Streamlit app to perform coreference resolution using NeuralCoref and spaCy.
An easy to use thin wrapper on top of neuralcoref library from Huggingface for coreference resolution
Coreference Resolution project that reached 89.86% accuracy score on the GAP dataset. I developed it in Pytorch using Transformers and BiLSTMs.
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